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AI Security, Guardrails, and Red Teaming
Threat modeling, prompt injection, agent risks, data security, red teaming, monitoring, and compliance for production AI.
12 chaptersFirst chapter free to preview
Full syllabus
2
Prompt Injection and Instruction Attacks
3
Insecure Outputs and Downstream Risk
4
Tools, Agents, and Excessive Agency
5
Data Security, Privacy, and Secrets
6
Identity, Permissions, and Trust Boundaries
7
Guardrails, Validation, and Policy Enforcement
8
Red Teaming and Adversarial Testing
9
Monitoring, Incident Response, and Auditability
10
Secure Architecture Patterns for AI Systems
11
Compliance, Governance, and Enterprise Controls
12
Capstones, Case Studies, and Security Readiness
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